Abstract
In order to better elucidate and understand the causative factors and clinical implications of uncertainty in medical reporting, one must first create a referenceable database which records a number of standardized metrics related to uncertainty language, clinical context, technology, and provider and patient data. The resulting analytics can in turn be used to create context and user-specific reporting guidelines, real-time decision support, educational resources, and quality assurance measures. If this technology can be directly integrated into reporting technology and workflow, the goal is to proactively improve clinical outcomes at the point of care.
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References
Reiner B. Quantitative analysis of uncertainty in medical reporting. Part 1: Creating a standardized and objective methodology. J Digit Imaging (accepted for publication)
Reiner B. Contextualizing causation of uncertainty in medical reporting. J Am Coll Radiol 2017 (in press)
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Reiner, B.I. Quantitative Analysis of Uncertainty in Medical Reporting: Part 3: Customizable Education, Decision Support, and Automated Alerts. J Digit Imaging 31, 579–584 (2018). https://doi.org/10.1007/s10278-017-0042-y
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DOI: https://doi.org/10.1007/s10278-017-0042-y